DocumentCode
2748510
Title
Mechanisms for just-in-time allocation of resources to adaptive parallel programs
Author
Baratloo, Arash ; Itzkovitz, Ayal ; Kedem, Zvi M. ; Zhao, Yuanyuan
Author_Institution
Dept. of Comput. Sci., Courant Inst. of Math. Sci., New York, NY, USA
fYear
1999
fDate
12-16 Apr 1999
Firstpage
506
Lastpage
512
Abstract
Adaptive parallel computations-computations that can adapt to changes in resource availability and requirement-can effectively use networked machines because they dynamically expand as machines become available and dynamically acquire machines as needed. While most parallel programming systems provide the means to develop adaptive programs, they do not provide any functional interface to external resource management systems. Thus no existing resource management system has the capability to manage resources on commodity system software, arbitrating the demands of multiple adaptive computations written using diverse programming environments. This paper presents a set of novel mechanisms that facilitate dynamic allocation of resources to adaptive parallel computations. The mechanisms are built on low-level features common to many programming systems, and unique in their ability to transparently manage multiple adaptive parallel programs that were not developed to have their resources managed by external systems. We also describe the design and the implementation of the initial prototype of ResourceBroker, a resource management system built to validate these mechanisms
Keywords
parallel programming; resource allocation; adaptive parallel programs; allocation of resources; dynamic allocation; just-in-time; networked machines; parallel programming; resource management; Availability; Computer science; Concurrent computing; Environmental management; Identity-based encryption; Master-slave; Parallel programming; Programming environments; Prototypes; Resource management;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing, 1999. 13th International and 10th Symposium on Parallel and Distributed Processing, 1999. 1999 IPPS/SPDP. Proceedings
Conference_Location
San Juan
Print_ISBN
0-7695-0143-5
Type
conf
DOI
10.1109/IPPS.1999.760524
Filename
760524
Link To Document